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Machine Learning Detection of Quantum Many-Body Localization Phase Transition
- Source :
- Conference on Lasers and Electro-Optics.
- Publication Year :
- 2022
- Publisher :
- Optica Publishing Group, 2022.
-
Abstract
- We propose a scheme for detection of quantum many-body phase transitions using unsupervised machine learning. We validate it on simulated 1D Bose-Hubbard model, and then use it on an experimental 2D system undergoing many-body localization.
Details
- Database :
- OpenAIRE
- Journal :
- Conference on Lasers and Electro-Optics
- Accession number :
- edsair.doi...........778e0bcd3660ca9fac7535acc3ea8470